7 results about "Abnormal shapes" patented technology

The invention provides an orthopedic surgery navigation method, device and system, electronic equipment and a storage medium, and relates to the technical field of computers.The method comprises the steps that a three-dimensional bone model of a diseased bone is generated based on a first image and a second image, and surgery parameters corresponding to the diseased bone are obtained based on the three-dimensional bone model and all bony mark points on the three-dimensional bone model, on the basis of the corresponding relation between all the bony mark points on the three-dimensional bone model and all the bony mark points on the affected bone, the affected bone and the three-dimensional bone model are registered, the mapping relation between the affected bone and the three-dimensional bone model and / or the first image is established, and surgical navigation is conducted on the basis of the surgical parameters corresponding to the affected bone and the mapping relation. According to the orthopedic surgery navigation method, device and system, the electronic equipment and the storage medium provided by the invention, more objective and quantitative preoperative surgery planning can be realized under the condition that the diseased bone of the patient has bone defect and / or abnormal shape, and more accurate diseased bone space positioning can be realized in the orthopedic surgery.

The invention discloses an identification method and device based on a biological image identification model, equipment and a medium, and generally relates to the technical field of computers. The method comprises the following steps: performing biological object calibration segmentation processing on a target biological image through a segmentation model to obtain a target biological feature which is used for representing a to-be-identified biological object in the target biological image; performing abnormal factor detection on the target biological characteristics through a detection model to obtain an abnormal detection result of the to-be-identified biological object; the anomaly detection result comprises whether the to-be-identified biological object has an abnormal factor or not; the abnormal factors comprise at least one of the abnormal size of the biological object, the abnormal form of the biological object and the abnormal absorption characteristic of the biological object to ray energy; and performing property judgment on the abnormal factors of the target biological characteristics through a characteristic judgment model to obtain the properties of the abnormal factors. The training cost is greatly saved while the training effect is ensured.

The present application relates to lumbar abnormal image recognition method and system, wherein the lumbar abnormal image recognition method comprises the following steps: acquiring the lumbar region MRI image, positioning the left and right apices of the intervertebral disc and the posterior apices of the spinal canal as key points; determining the region of interest in the lumbar image according to the positioned key points, and obtaining the shape image of the lumbar spinal canal through pretreatment; inputting the obtained lumbar spinal canal shape image into the trained classification network model, and judging whether the image contains the abnormal shape of lumbar spinal canal stenosis. By positioning the key points, the region of the lumbar spinal canal is roughly determined, and the most interesting lumbar center region in machine learning is sent into the classification network. Compared with the existing technology of sending the whole MRI image into the classification neural network, the irrelevant information in the network input can be reduced, the features related to the spinal canal stenosis can be more focused on, the abnormal shape image of the lumbar spinal canal stenosis existing in the image data can be accurately recognized, and the recognition accuracy is improved.

The present disclosure features a cross-linked chemical entity (e.g., a compound or a pharmaceutically acceptable salt and / or hydrate and / or prodrug of a compound) in the cornea in response to exposure to electromagnetic radiation. The disclosure also features compositions comprising the chemical entities as well as other methods of use and preparation thereof. The chemical entities may be used, for example, to treat a subject (e.g., a person) having a disease, disorder or condition in which abnormal shapes of the cornea (e.g., corneal thinning, e.g., bilateral corneal thinning, e.g., bilateral thinning of the central, paracentral or peripheral cornea; or corneal steepage (e.g., protuberance), resulting in a pathology and / or symptom and / or progression of a disease, disorder or condition. Non-limiting examples of such diseases, disorders or conditions include: (i) corneal dilation disease; (ii) a visual condition; (iii) is a disease, disorder or condition after or coexisting with any of the above-described or any of the disease, disorder or condition described herein. More specific non-limiting examples of such diseases, disorders or conditions include cornea conus, corneal globe, transparent edge degeneration, corneal dilation (e.g., post-operative dilation, e.g., LASIK post-operative dilation), Terrien edge degeneration, myopia, hyperopia, astigmatism, irregular astigmatism, and presbyopia.

This application relates to the field of flaw detection technology, and discloses a method and apparatus for detecting pin fracture, a thin film deposition equipment, and a storage medium. The pin fracture detection method includes: moving an X-ray detection mechanism to the area to be inspected where the pin is located; performing penetration image recognition on the area to be inspected using the X-ray detection mechanism to obtain an image of the pin containing structural features, wherein the structural features include missing or broken parts, abnormal shapes or contours, and abnormal locations and distributions; preprocessing and evaluating the obtained image to be inspected, and generating a pin fault detection result, wherein the fault detection result includes no damage, defects, strain, or fracture.

1. Name of the Design Product: Cross-shaped cutter head (abnormal shape). 2. Use of the Design Product: Components for drill bits. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo Most Indicating the Design Key Points: Perspective view of Design 1. 5. Design 1 is designated as the basic design.

1. Name of the Design Product: Wine Pot (Abnormal Shape). 2. Use of the Design Product: For wine pots. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo that Best Illustrates the Design Key Points: Perspective view.